MobileNet-V2 /IFHO model for Accurate Detection of early-stage diabetic retinopathy

Diabetic retinopathy is a serious eye disease that may lead to loss of vision if it is not treated. Early detection is crucial in preventing further vision impairment and enabling timely interventions. Despite notable advancements in AI-based methods for detecting diabetic retinopathy, researchers a...

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Veröffentlicht in:	Heliyon Jg. 10; H. 17; S. e37293
Hauptverfasser:	Huang, Chunjuan, Sarabi, Mohammad, Ragab, Adham E.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Elsevier Ltd 15.09.2024 Elsevier
Schlagworte:	Automated image processing algorithms data collection Diabetic retinopathy Early-stage detection model image analysis Improved fire hawk optimizer Mobilenet-V2 vision vision disorders Diabetic retinopathy Automated image processing algorithms Early-stage detection model Mobilenet-V2 Improved fire hawk optimizer
ISSN:	2405-8440, 2405-8440
Online-Zugang:	Volltext
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